数据仓库应具有上图中所描述的商业智能基础设施中的所有组件。
A data warehouse should have all the components in the business intelligence infrastructure pictured in the figure above.
如何进行数据仓库的建模可能是商业智能领域中最有争议的问题之一，而本文不会进行这方面的讨论。
How to model a data warehouse is probably one of the most controversial issues in the business intelligence field, and this article does not enter that discussion.
在过去几年，OLAP逐渐成为处理数据仓库和商业智能使用的多维数据的流行方法。
Over the past few years, OLAP has become an increasingly popular approach to handling multidimensional data for warehousing and business intelligence.
本系列文章将帮助您使用IBMDB 2DataWarehouseEdition (DB 2DWE)交付某种数据仓库基础设施，该基础设施对于随需应变的商业智能至关重要。
This article series will help you deliver the kind of data warehouse infrastructure that is essential to on-demand Business Intelligence, using IBM DB2 data warehouse Edition (DB2 DWE).
MPP分析数据库——Jaspersoft支持IBM的Netezza MPP分析数据库数据仓库，不久还会提供商业的分析支持。
MPP analytic database - Jaspersoft supports IBM's Netezza MPP analytic database data warehouse and soon will add commercial analysis support.
商业应用，即席分析查询，以及数据仓库负载收益最多。
Business applications, ad-hoc analytic queries, and data warehouse workloads benefit most.
第二章和第三章分别介绍了商业智能系统实现的技术基础：数据仓库和商业智能。
The author introduces the base technology for the implement of the BI system and data warehouse and mining respectively in the second and third chapter.
并紧密结合某商业银行的中间业务，设计和实现了基于数据仓库的银行中间业务系统。
Then in close connection with a commercial bank's intermediate business, we design and implement the intermediate business of banking system based on data warehouse.
数据仓库和联机分析处理(LAP)当今商业数据处理领域的研究重点。
Data warehouse and on-line analytical processing (OLAP) are the research emphases in the business data processing area.
主动实时数据仓库的提出用来零延时地获取数据和减少正确做出商业决策的时间。
The paper discusses the difference between traditional data warehouse and active real-time data warehouse, and presents a new architecture of active real-time data warehouse.
本文主要研究了我国商业银行分析型CRM，从数据仓库与数据挖掘技术的角度来分析个人银行业务客户关系管理。
This paper focuses on research of analytical CRM application in the commercial bank by using Data Warehouse and Data Mining in the fields of individual banking business application.
它还包括在当前的商业社区中数据仓库和数据挖掘的趋势和应用程序。
It also includes the trends and application in data warehouse and data mining in current business communities.
目前，将数据仓库应用于商业银行财务分析环节还是一个较为新兴的领域，其建设和技术还存在很大的挑战，许多方面都需要深入研究。
At present, the use of DW in the financial analysis of commercial bank is a new research field and it will face a huge challenge both in the aspects of its construction and technology.
为商业银行财务分析数据仓库系统的实际开发和实施提供理论依据和支持。
The research and the model of article theoretically support the development and implement of the DW of financial analysis.
数据仓库和联机分析处理(OLAP)是商业数据处理领域中的两个最重大的新技术。
Data warehousing and On-Line Analytical processing OLAP are two of the most significant new technologies in the business data processing area.
摘要：在介绍了商业智能的核心技术和体系结构包括数据仓库、联机分析处理、数据挖掘等的基础上。
Absrtact: Introduces the main technology and system structure of business intelligence including data warehouse (DW), OLAP and data mining.
商业智能的支撑技术包括数据仓库、联机分析处理和数据挖掘。
Data Warehouse, Online Analytical Processing and Data Mining constitute the supporting technology for BI.
信贷审批系统将为今后商业银行建设数据仓库，决策分析等提供最为基础的数据。
In the future credit approval system will provide the most basic data in the building of data warehouse and decision Analysis for the commercial bank.
最后，将本文研究的面向对象的数据仓库设计方法应用于某商业银行稽核系统，在系统建模和业务功能实现上取得了显著成效。
In the end, we applied this design method suggested by this article to the bank audit system, and received good effect on system modeling and business function.
最后，将本文研究的面向对象的数据仓库设计方法应用于某商业银行稽核系统，在系统建模和业务功能实现上取得了显著成效。
In the end, we applied this design method suggested by this article to the bank audit system, and received good effect on system modeling and business function.
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